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Article Dans Une Revue Nature Communications Année : 2023

Three-Dimensional Ultrasound Matrix Imaging

Résumé

Matrix imaging paves the way towards a next revolution in wave imaging. Based on the response matrix recorded between a set of sensors, it enables an optimized compensation of aberration phenomena and multiple scattering events that usually drastically hinder the focusing process in heterogeneous media. Although it gave rise to spectacular results in optical microscopy or seismic imaging, the success of matrix imaging has been so far relatively limited with ultrasonic waves because wave control is generally only performed with a linear array of transducers. In this paper, we extend ultrasound matrix imaging to a 3D geometry. Switching from a 1D to a 2D probe enables a much sharper estimation of the transmission matrix that links each transducer and each medium voxel. Here, we first present an experimental proof of concept on a tissue-mimicking phantom through ex-vivo tissues and then, show the potential of 3D matrix imaging for transcranial applications.
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Dates et versions

hal-04027631 , version 1 (13-03-2023)
hal-04027631 , version 2 (17-10-2023)

Licence

CC0 - Transfert dans le Domaine Public

Identifiants

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Flavien Bureau, Justine Robin, Arthur Le Ber, William Lambert, Mathias Fink, et al.. Three-Dimensional Ultrasound Matrix Imaging. Nature Communications, 2023, 14, pp.6793. ⟨10.1038/s41467-023-42338-8⟩. ⟨hal-04027631v2⟩
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